BACKGROUND: In the field of internet-based healthcare, the complexity of pathology features across various disciplines, coupled with the lack of medical training among most patients, results in medical named entities in doctor patient dialogue texts e...
Efficient spatial prediction models for soil heavy metals are crucial for maintaining soil ecosystem health, promoting high-quality regional agriculture, and national food security. Traditional machine learning (ML) models often overlook spatial auto...
The rapid expansion of waste-to-energy (WtE) facilities underscores the need for sustainable management of incinerator bottom ash (IBA) to advance circular economy goals. However, China's national potential, economic, and environmental performance in...
BACKGROUND: Minimally invasive thoracic surgery has improved lung cancer outcomes but requires enhanced postoperative care. Traditionally, the episodic care model has limited timely and multidimensional monitoring of patients. Recent technological ad...
BACKGROUND: Medical crowdfunding has emerged as a critical tool to alleviate the financial burden of health care costs, particularly in regions where economic disparities limit access to medical treatment. Despite its potential, the success rates of ...
Sustainable development goal (SDG) 5 focuses on gender equality and empowerment and it is considered as one of the most important SDGs. Therefore, this article presented a time series prediction model that predicts gender-related educational results ...
Healthcare-associated infections (HAIs), particularly in neonatal intensive care units (NICUs), pose significant challenges due to neonates' vulnerability and the rapid infection spread. However, risk factors facilitating pathogen persistence and dis...
Sewage pumping stations and wastewater treatment plants (WWTPs) serve as critical nodes through which emerging pollutants (ECs) migrate from urban and industrial sources into aquatic environments. However, research on the co-occurrence, source dynami...
Extensive investigations into the increasingly severe contamination of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in groundwater are currently causing high costs and long duration. Machine learning provides useful tools for predicting the o...
This study aimed to investigate the release and attenuation mechanisms of Cr(VI) in a shallow aquifer system and evaluate the remediation performance of a permeable reactive barrier (PRB) in central China. A hydrogeochemical and machine learning fram...
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